Physical AI Engineering Consultant Senior Consulting Open Location

Location: Anywhere in Country

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Technology Data and Decision Science AI Native Engineering
Physical AI Engineering Consultant Senior Consultant

The opportunity
Our Artificial Intelligence and Data teamhelps apply cutting edge technology and techniques to bring solutions to our clients. As part of that youll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems some of which have not been solved before. No two days will be the same and with constant research and development youll find yourself building knowledge that can be applied across a wide range of projects now and in the future. Youll need to have a passion for continuous learning stay ahead of the trends and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

As a Senior AI Native Engineer you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching building and implementing scalable AI systems that learn and make predictions tailored to diverse business environments whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes all while collaborating with a talented team of data and analytics professionals.

Your key responsibilities
In this role you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify enrich and derive insights from varied data sources across a broad technology landscape. You will guide clients through the complexities of modern robotics digital twin applications and software engineering. Well look to you to provide technical leadership and perform development tasks to ensure robust engineering and maintenance of physical AI solutions that meet ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively build applications efficiently and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

You will spend your time on key responsibilities that include:

• Researching and implementing scalable AI systems that meet business requirements.
• Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
• Monitoring and optimizing learning processes to improve high-performance models.
• This position may have travel requirements as needed to engage with external clients regularly.

Skills and attributes for success
To excel in this role you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential.

This role will work to deliver tech at speed innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

• Strong analytical and decision-making skills to guide project direction.
• Proven experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.

To qualify for the role you must have

• A Bachelors degree required (4-year degree).
• Bachelors degree and 3-6 years of full-time working experience in Robotics Digital Twin and Computer Vision/Deep Learning/Reinforcement Learning.
• Proficiency in programming languages such as Python C or Java with experience in robotics frameworks (e.g. ROS) and simulation environments.
• Experience designing building and maintaining robotics systems and digital twin models.
• Hands-on experience with NVIDIA Omniverse or similar simulation environments for robotics and digital twin applications.
• Understanding of robotic systems kinematics dynamics and control algorithms.
• Understanding of various sensors (e.g. LIDAR cameras) and actuators used in robotic systems.
• Familiarity with creating and managing digital twins including modeling simulation and real-time data integration.
• Knowledge of machine learning techniques and algorithms particularly in the context of robotics and automation.
• Proficiency using data manipulation and analysis tools (Pandas NumPy) to derive insights from sensor data and simulations and experience with popular ML packages such as TensorFlow PyTorch or similar libraries.
• Extensive experience using DevOps tools like GIT Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features pipelines and releases.
• A solid understanding of Machine Learning (ML) workflows including ingesting analysing transforming data and evaluating results to make meaningful predictions.
• Experience with MLOps methods and platforms such as MLFlow.

• Experience with CI/CD practices to automate the testing and deployment of software in Software-in-the-loop (SIL) environments.
• Experience designing building and maintaining ML models frameworks and pipelines.

• Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.
• Understanding of data structures data modelling and software engineering best practices.
• Proficiency using data manipulation tools and libraries such as SQL Pandas and Spark.
• Clearly communicating findings recommendations and opportunities to improve data systems and solutions.
• Experience with containerization and scaling models.
• Integrating models and feedback from downstream consumption systems - reporting and dashboards AI driven applications.
• Proficiency in deep learning techniques.
• Strong foundation in mathematics statistics and operations research.
• Experience with machine learning algorithms and data architecture design.
• Familiarity with cloud computing and technical design optimization.
• Knowledge of natural language processing and image processing techniques.
• Understanding of continuous integration and deployment methodologies.
• Experience in scaling models for various applications.
• Strong mathematical and quantitative skills including calculus linear algebra and statistics.
• Willingness to travel to meet client obligations.

Ideally youll also have

• A deep understanding of and ability to teach concepts tools features functions and benefits of different approaches to apply them.
• Advanced degree in Robotics Computer Science Mechanical/Aerospace Engineering Electrical Engineering or other quantitative field; graduate school years can act as a substitute for some of the industry years requirement.
• Previous experience in research projects related to robotics automation or digital twin technologies (including academic research) with contributions to academic journals or conferences showcasing research findings and technical expertise.
• Experience with computer vision techniques and libraries (e.g. OpenCV) for object detection tracking and recognition.
• Proficiency in designing and implementing control systems for robotic applications including PID controllers state-space control and adaptive control techniques.
• Ability to develop and optimize algorithms for tasks such as path planning motion planning and decision-making in robotics.
• Experience with Hardware-in-the-loop (HIL) testing techniques to validate the performance of robotic systems in real-time by integrating hardware components with simulation models.
• Knowledge of Model-Based Systems Engineering (MBSE) methodologies to support the design analysis and verification of complex systems.
• Familiarity with industry standards and regulations related to robotics and AI ensuring that solutions meet safety and compliance requirements.
• Proficiency in testing methodologies including unit testing integration testing and system testing to ensure the reliability and robustness of physical AI solutions.
• Strong understanding of and/or interest in Agentic AI/Generative AI.
• Knowledge of sustainability practices in technology.
• A deep understanding of and ability to teach concepts tools features functions and benefits of different approaches to apply them.
• Strong skills in languages beyond Python: R JavaScript Java C C.
• Experience fine-tuning Generative AI models.

What we look for
We seek individuals who are not only technically proficient but also possess the qualities of a top performer. You should be innovative adaptable and purpose driven by a desire to make a significant impact in the field of artificial intelligence. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

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What we offer you
At EY well develop you with future-focused skills and equip you with world-class experiences. Well empower you in a flexible environment and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• We offer a comprehensive compensation and benefits package where youll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105800 to $174800. The base salary range for New York City Metro Area Washington State and California (excluding Sacramento) is $127100 to $198600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education experience knowledge skills and addition our Total Rewards package includes medical and dental coverage pension and 401(k) plans and a wide range of paid time off options.
• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external client serving roles to work together in person 40-60% of the time over the course of an engagement project or year.
• Under our flexible vacation policy youll decide how much vacation time you need based on your own personal circumstances. Youll also be granted time off for designated EY Paid Holidays Winter/Summer breaks Personal/Family Care and other leaves of absence when needed to support your physical financial and emotional well-being.

Are you ready to shape your future with confidence Apply today.
EY accepts applications for this position on an on-going basis.

For those living in California please click here for additional information.

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Required Experience:

Senior IC